Natural Language Inference (NLI), consists in predicting entailment, contradiction or neutral, given a hypothesis and a premise.
We use the MNLI dataset as opposed to the SNLI data [1]}, [2]}, since it contains different genres. Our model is not built to be a strong NLI system; we use the similarity between premise and hypothesis as a weak signal to improve the generalization on our main task.
